Optimal inspection policies for standby systems
- 1 January 1987
- journal article
- research article
- Published by Taylor & Francis in Communications in Statistics. Stochastic Models
- Vol. 3 (2) , 259-273
- https://doi.org/10.1080/15326348708807056
Abstract
An auxiliary unit is normally idle or in cold standby. If a demand for the unit's service occurs, the unit must be available to satisfy it, or else “catastrophe” occurs. Discrete time Markov decision process models are formulated and policies for periodic inspection and maintenance of such a unit are derived that maximize the expected time until a catastrophe occurs. The models recognize that inspection, maintenance, and repair periods are of non-zero duration during which the unit is vulnerable. They also account for the possibility of hazardous inspection that may damage the unit and various forms of imperfect repairKeywords
This publication has 15 references indexed in Scilit:
- State of the Art—A Survey of Partially Observable Markov Decision Processes: Theory, Models, and AlgorithmsManagement Science, 1982
- Maintenance policies under imperfect informationEuropean Journal of Operational Research, 1980
- Structural Results for Partially Observable Markov Decision ProcessesOperations Research, 1979
- A Hazardous-Inspection ModelManagement Science, 1979
- Maintenance Policies When Deterioration Can be Observed by InspectionsOperations Research, 1976
- Markovian Deterioration with Uncertain InformationOperations Research, 1976
- Inspection Policies When Duration of Checkings is Non-NegligibleJournal of the Operational Research Society, 1974
- The Optimal Control of Partially Observable Markov Processes over a Finite HorizonOperations Research, 1973
- Quality Control under Markovian DeteriorationManagement Science, 1971
- Contraction Mappings in the Theory Underlying Dynamic ProgrammingSIAM Review, 1967